FAQs
What qualifications are required for this position?
The position requires a PhD or a Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or a related field, along with 2+ years of experience building models for business applications.
What programming languages should candidates be proficient in?
Candidates should have experience programming in languages such as Java, C++, Python, or other related languages.
What specific experience is required in machine learning frameworks?
Candidates should have experience with popular deep learning frameworks such as MxNet and TensorFlow.
What types of problems will the Applied Scientist work on?
The Applied Scientist will work on designing and developing innovative models for Natural Language Processing (NLP), Large Language Models (LLM), and Large Computer Vision Models, among others.
Is there an expectation to mentor others in this role?
Yes, mentoring interns is part of the responsibilities expected from the Applied Scientist in this position.
How does the team utilize machine learning in their processes?
The team utilizes machine learning to improve the customer experience, identify return root causes, optimize re-use, and evaluate returned packages using state-of-the-art modeling techniques.
What is the work environment like in the Worldwide Returns & ReCommerce team?
The work environment is described as fun and empowering, with a strong leadership group dedicated to operational excellence and a focus on achieving a reasonable work-life balance.
What type of data will the Applied Scientist be working with?
The Applied Scientist will work with multiple modalities of data, including textual, categorical, image, and speech data.
Are publications or patents encouraged for candidates in this role?
Yes, experience in patents or publications at top-tier peer-reviewed conferences or journals is valued and encouraged for candidates.
Is there a specific focus on sustainability in this role?
Yes, the role emphasizes building sustainable re-use channels and driving aspects of the Circular Economy at Amazon, with a focus on benefiting both customers and the environment.